WO2012174882A1 - Procédé et appareil de distribution de données de performance de gestion de réseau de télécommunication - Google Patents

Procédé et appareil de distribution de données de performance de gestion de réseau de télécommunication Download PDF

Info

Publication number
WO2012174882A1
WO2012174882A1 PCT/CN2012/071609 CN2012071609W WO2012174882A1 WO 2012174882 A1 WO2012174882 A1 WO 2012174882A1 CN 2012071609 W CN2012071609 W CN 2012071609W WO 2012174882 A1 WO2012174882 A1 WO 2012174882A1
Authority
WO
WIPO (PCT)
Prior art keywords
information
data
output
time granularity
time period
Prior art date
Application number
PCT/CN2012/071609
Other languages
English (en)
Chinese (zh)
Inventor
曾钦宏
Original Assignee
中兴通讯股份有限公司
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by 中兴通讯股份有限公司 filed Critical 中兴通讯股份有限公司
Publication of WO2012174882A1 publication Critical patent/WO2012174882A1/fr

Links

Classifications

    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L43/00—Arrangements for monitoring or testing data switching networks

Definitions

  • the present invention relates to the field of communications, and more particularly to a method and apparatus for outputting performance data of a telecommunications network management system. Background technique
  • Performance management is one of the five management functions provided by the telecom network management system for telecommunication networks and telecommunication services (the telecommunication network management system provides five basic functions, including performance management, configuration management, security management, fault management and billing management), mainly through Collect and analyze operational data collected from network elements to monitor and correct the behavior and efficiency of networks and network elements to help users plan, implement and maintain, and measure service quality.
  • performance management needs to periodically collect performance data of the mobile system from the managed network elements, and then store them in the back-end database for statistical analysis.
  • the processing of performance data has always been a problem that is difficult to completely solve, because the performance object (Performance Object, ⁇ ) data reported from the foreground device to the background network management system is randomly disordered, and the background network management system must
  • the performance data provided to the end user is divided by time granularity, which is sequential and complete.
  • time granularity refers to a time segment; this contradiction is the root cause of the defect of performance data processing.
  • there are relatively complete algorithms and implementations for the collection and recovery of performance data which can ensure that the front-end can collect performance data correctly and completely, but there is still no guarantee that these data can be stored in the back-end database, which makes The performance data in the backend performance database is not complete at all times.
  • the main reasons for the incomplete performance data in the background performance database are as follows: First, when the wireless system is busy, in order to ensure real-time reporting of higher priority alarms, signaling, probes, etc., system quality of service (Quality of Service, QOS) will delay or discard performance data in part or in full. Second, long-term disconnection occurs in the front and back-end links, and network transmission occurs for a long time. When there is congestion, it will also cause partial loss of data.
  • QOS Quality of Service
  • the embodiment of the invention provides a method and a device for outputting telecommunication network management performance data, which are used to solve the problem that the performance analysis and fault location of the entire system are difficult due to the lack of individual or all PO data in the background database in the prior art. problem.
  • An embodiment of the present invention provides a method for outputting telecommunication network management performance data, including: collecting performance object PO data of each device according to time granularity;
  • the RPO reference table includes PO information and time granularity information of each PO
  • the PO data of the first PO of the time granularity of the data is empty.
  • the embodiment of the present invention further provides a telecommunication network management performance data output device, including:
  • a reference table establishing unit configured to pre-establish an RPO reference table including PO information and time granularity information of each PO;
  • a data collection unit configured to collect PO data of each device according to time granularity
  • a time granularity information determining unit configured to search for a pre-established one according to the output time period specified in the received performance data output instruction and the first PO information included in the output performance data Determining, by the RPO, a time granularity information included in the output time period by the first PO that needs to output performance data;
  • a PO data output unit configured to search for the collected PO data according to the time granularity included in the time granularity information of the first PO, to obtain the first PO in the order of time granularity in the output time period
  • the PO data, in which the PO data of the first PO of the time granularity of the PO data is not found, is empty.
  • the telecommunication network management performance data output solution when receiving the performance data output instruction, first searches for a pre-established RPO reference table, and finds the time granularity information of the PO that needs to be output in the instruction, according to the time granularity information.
  • the included time granularity is to find the required PO data in the collected PO data, and obtain the PO data arranged in the order of time granularity.
  • the PO data of the time granularity in which the PO data is not found is empty.
  • the final data obtained by this scheme is ordered data. Even if the foreground data fails to collect PO data or the PO data collected in the foreground is lost, it can clearly see which time-grained data is missing, which can be valid in real time. Performance monitoring and analysis of the entire system can quickly and accurately perform performance analysis and fault location, avoiding the loss of individual or all PO data in the back-end database, resulting in difficulty in performance analysis and fault location of the entire system.
  • FIG. 1 is a schematic flowchart of a method for outputting performance data of a telecommunications network management system according to an embodiment of the present invention
  • FIG. 2 is a schematic flowchart of establishing an RPO reference table according to an embodiment of the present invention
  • FIG. 3 is a schematic flowchart of a preferred embodiment of establishing an RPO reference table according to an embodiment of the present invention
  • FIG. 4 is a schematic flowchart of querying a KPI according to an embodiment of the present invention
  • FIG. 5 is a schematic flowchart of outputting PO data according to an embodiment of the present invention.
  • FIG. 6 is a schematic structural diagram of a telecommunication network management performance data output apparatus according to an embodiment of the present invention. detailed description
  • the present invention provides a method for outputting telecommunication network management performance data, which is difficult to perform performance analysis and fault location of the entire system due to the lack of individual or all PO data in the background database.
  • the process of the method of the present invention is shown in FIG. 1, and the execution steps are as follows:
  • Step 10 Collect the PO data of each device according to the time granularity.
  • the time granularity is set first, and the time granularity may be any one of the time segments, for example, 10 minutes, 20 minutes, 60 minutes, etc., and may be set according to specific conditions. Then collect the PO data of each device.
  • One device can correspond to multiple POs, or one PO can correspond to multiple devices.
  • the PO data includes PO information, performance parameter information, and acquisition time information, where the PO information includes a PO name and a PO identifier.
  • the performance database when storing the collected PO data, can be set to store the collected PO data into the performance database.
  • Step 20 When receiving the performance data output instruction, searching for a pre-established reference performance object (RPO) reference according to the output time period specified in the received performance data output instruction and the first PO information included in the output performance data a table, determining time granularity information included in the output time period of the first PO that needs to output performance data; wherein, the RPO reference table includes PO information and time granularity information of each PO.
  • RPO reference performance object
  • an RPO reference table including PO information and time granularity information of each PO is established, as shown in FIG. 2, including the following steps:
  • Step 201 Collect PO information of each device when each time granularity arrives.
  • the PO information of each device is collected.
  • the PO information of each device is collected, which is different from the PO data of each device in step 10, the PO data includes PO information, and the PO information includes configuration information of the device.
  • Step 202 Arrange the time granularity of the PO information of each device according to the sequence of time granularity.
  • the PO information of each device collected, or PO information of each device collected for each time granularity generates an RPO reference table including PO information and time granularity information of each PO.
  • the RPO reference table including the PO information and the time granularity of each PO established herein may be in two forms, and one is arranged according to the time granularity of the PO information of each device.
  • the PO information of each device, the RPO reference table thus obtained is for each device PO, the PO information of each device collected is arranged in order of time granularity; the other is for each time granularity,
  • the PO information of each device collected is recorded, and the RPO reference table thus obtained is the PO information of each device at the same time granularity.
  • the above receiving performance data output instructions can be used in two cases:
  • the first type Receives the performance data output instruction that is actively triggered according to the set trigger rule. Specifically, some or all POs of the selected device are selected as the first PO according to the set triggering rule, and the output time period is determined, and a performance data output instruction including the output time period and the selected first PO information is generated.
  • the rules set here can be set according to specific situations. For example, in order to obtain the performance data fixed at a certain time every day, it is possible to set the performance data output instruction at a fixed time every day, and then The performance data output command can be triggered at that fixed time.
  • KPI Key Performance Indicators
  • First PO generating a performance data output instruction including an output time period and the parsed first PO information.
  • the user actively inputs the KPI to be queried.
  • the time granularity is 10 minutes, then, the embodiment of the present invention
  • the method can parse the PO corresponding to each KPI according to a preset KPI calculation formula, and generate a performance data output instruction including the output time period and the parsed PO information. If multiple KPIs are input for query, the PO corresponding to each KPI may be parsed in turn, or the PO corresponding to each KPI may be parsed at the same time.
  • the formula for calculating the KPI based on the PO data belongs to the prior art, and is not here. Let me repeat.
  • Step 30 Search for the collected PO data according to the time granularity included in the time granularity information of the first PO, and obtain the PO data of the first PO in the order of time granularity in the output time period, where no PO data is found.
  • the PO data of the first PO of the time granularity is empty.
  • the specific steps are: searching for the pre-established RPO reference table according to the first PO information included in the performance data output instruction; for the existence in the RPO reference table a first PO message, creating a first query statement including an output time period; creating a second query statement including an output time period for the first PO information that does not exist in the RPO reference table; executing the first query statement and/or The second query statement finds PO data of each time granularity of the first PO in the output time period in the PO data of the set, and arranges the PO data of the first PO to be sorted in order of time granularity to obtain an output time period.
  • the PO data of the first PO arranged in order of time granularity within the time sequence, and the PO data of the first PO without the time granularity of the PO data is found to be empty.
  • the collected PO data is stored in the performance database in step 10
  • the collected PO data is searched for the received performance data output instruction
  • the first PO is searched in the set performance database for each time in the output time period. Time granular PO data.
  • Step 211 When each time granularity arrives, the process begins.
  • Step 212 Traverse the query all the PO information in the RPO reference table.
  • Step 213 Take out a PO information from the RPO reference table.
  • Step 214 The extracted PO information is stored in the RPO reference table together with the time granularity information.
  • Step 215 Determine whether the next PO information in the RPO reference table is empty, if yes, go to step 217; otherwise, go to step 216.
  • Step 216 Take out the next PO information, and go to step 214.
  • Step 217 The record in the RPO reference table has been generated for each PO information of the current time granularity, and the process ends.
  • an RPO reference table including PO information and time granularity information of each PO can be generated.
  • Step 301 The user selects a KPI on the interface. The process begins.
  • Step 302 Create a select (select) part of the outermost layer in the query statement according to the query condition selected by the user.
  • the query condition refers to the output time period and one or more KPIs entered by the user.
  • Step 303 Extract a ⁇ input by the user.
  • Step 304 Determine whether the ⁇ parsed according to the ⁇ exists in the RPO reference table, and if yes, go to step 305; otherwise, go to step 307.
  • Step 305 Take out the information corresponding to the ⁇ .
  • Step 306 Create a first query statement including the output time period input by the user and the left side of the RPO reference table corresponding to the extracted PO information by the left join keyword (left join) keyword, and then proceed to step 308.
  • Step 307 Create a second structured query language (Structured Query Language, SQL) containing the output time period input by the user.
  • SQL Structured Query Language
  • the first query statement may be generated or the second one may be generated.
  • the query statement or both.
  • Step 308 Determine if the next KPI is empty, if yes, go to step 310; otherwise, go to step 309.
  • Step 309 Extract the next KPI, and return to step 304.
  • Step 310 Combine the created first query statement and/or the second query statement with the outermost select portion into one SQL query statement.
  • Step 311 Execute the SQL query statement to query the performance database.
  • the first query statement and/or the second query statement are included in the formed SQL query statement, and the execution of the first query statement and/or the second query statement can be achieved when the SQL query statement is executed.
  • Step 312 For the queried KPI output query result in the output time period of the user input, the query result is empty for the KPI output in the output time period of the user input that is not queried. The process ends.
  • the above process can realize whether the PO parsed by the KPI exists in the RPO reference table to generate a plurality of query statements, that is, the first query statement and the second query statement, and then combine the generated plurality of query statements to perform joint query. This is to first generate a statement for the joint query, and then query the PO data corresponding to the KPI.
  • Step 321 When receiving the performance data output instruction actively triggered according to the set trigger rule, the performance data output task is triggered, and the process starts.
  • the generated performance data output instruction includes the output time period and the selected first PO information.
  • Step 322 Traverse some or all of the POs of the selected device.
  • Step 323 Extract a PO.
  • Step 324 Determine whether the PO data of the extracted PO is empty. If yes, go to step 333, otherwise go to step 325.
  • Step 325 Determine whether the PO data has corresponding PO information in the RPO reference table, if not, go to step 328; otherwise, go to step 326.
  • Step 326 Take out the PO information.
  • Step 327 Create a first query statement including the determined output time period, which is left-linked by the RPO reference table corresponding to the extracted PO information by the left join keyword, and then proceeds to step 329.
  • Step 328 Create a second query statement of a normal SQL query statement containing the determined output time period.
  • Step 329 Execute the first or second query statement to query the performance database.
  • Step 330 Store the query result.
  • the output query result corresponding to the PO is not empty.
  • Step 331 Determine whether the PO data of the next PO is empty. If yes, go to step 332, otherwise return to step 333.
  • Step 332 Extract the next PO, and return to step 324.
  • Step 333 All POs are queried and the query results are stored. The process ends.
  • the above method does not merge the generated query statements, that is, the first one that will not be generated.
  • the query statement is merged with the second query statement, but each query statement is executed to implement data query, and finally all PO data of the PO to be queried is obtained.
  • Embodiment 1 is a diagrammatic representation of Embodiment 1:
  • the PO information of each device in the foreground is collected in 10 minutes, and the time granularity of the PO information of each device is collected.
  • the collected PO information of each device is sequentially arranged, and an RPO reference table including PO information and time granularity information of each PO is generated.
  • This RPO reference table reflects the data at which time, and the time granularity is also in order.
  • the order of the time granularity is recorded in the PO information, which provides a reference for future output performance data, but not here. Care about what data is specific, so with the establishment of performance database collection
  • receiving a preset trigger rule for example, outputting an output time period of 10 o'clock to 11 o'clock every 10 o'clock in the morning, selecting POs of all devices as the first PO, and then generating including 10:00 am to 11:00 am This output time period and the performance data output instruction of the first PO information.
  • the second query statement of the SQL executing the first query statement or the second query statement, and searching for 6 time-granular PO data of the first PO in the output time period of 10 o'clock to 11 o'clock in the performance database, if the query is
  • the PO data is divided into P01 from 10:00 to 10:10, 10:20 to 10:30, and is divided into P02, 10:40 to 10:50, and is divided into P03.
  • the final result is from 10:00 to 11:00.
  • the PO data in the output time period is 10:10 to 10:10, divided into P01, 10:10, 10:20, and divided into 10, 10:10, 10:30, P02, 10:30.
  • 10:40 is divided into empty, 10:40 to 10:50 is divided into P03, 10:50 to 11:00.
  • Embodiment 2 is a diagrammatic representation of Embodiment 1:
  • the PO information of each device in the foreground is collected in 15 minutes, and the time granularity of the PO information of each device is collected.
  • the collected PO information of each device is sequentially arranged, and an RPO reference table including PO information and time granularity information of each PO is generated.
  • This RPO reference table reflects the data at which time, and the time granularity is also in order.
  • the order of the time granularity is recorded in the PO information, which provides a reference for future output performance data, but not here. Care about what data is specific, so with the establishment of performance database collection
  • a performance data output instruction is generated that includes the output time period from 1pm to 2pm and the first information.
  • the time granularity information of the first PO includes 1:1 to 15:00, 1:15 to 1:30, and 1:30 to 1 in the output time period from 1 pm to 2 pm.
  • the time granularity is 45 points, 1 point 45 minutes to 2 points.
  • the second query statement executing the first query statement or the second query statement, and searching for, in the performance database, the four PO data of the first PO in the output time period from 1 pm to 2 pm, if the PO data is queried From 1 o'clock to 15:00, it is divided into P05, 1:30, and 1:45, and it is divided into P06.
  • the result is that the PO data is 1 to 1 in the output time range from 1 pm to 2 pm.
  • Point 15 is divided into P05, 1 point 15 minutes to 1 point 30 is divided into empty, 1 point 30 minutes to 1 point 45 is divided into P06, 1 point 45 points to 2 points is empty.
  • the relationship between the KPI and the PO can be obtained by querying the KPI.
  • the embodiment of the present invention further provides a telecommunication network management performance data output device, which can be set in any telecommunication network management system that needs to output performance data, and its structure is as shown in FIG. 6 . Show, including:
  • the reference table establishing unit 10 is configured to pre-establish an RPO reference table including PO information and time granularity information of each PO.
  • the reference table establishing unit 10 is further configured to: collect PO information of each device when each time granularity arrives; and arrange each collected device according to a time granularity of collecting PO information of each device.
  • the PO information or for each time granularity, records the collected PO information of each device, and generates an RPO reference table including PO information and time granularity information of each PO.
  • the data collection unit 20 is configured to collect PO data of each device by time granularity.
  • the time granularity information determining unit 30 is configured to output an instruction middle finger according to the received performance data.
  • the determined output time period and the first PO information included in the output performance data are searched, and the pre-established RPO reference table is searched to determine the time granularity information included in the output time period of the first PO that needs to output the performance data.
  • the time granularity information determining unit 30 is configured to: receive a performance data output instruction actively triggered according to the set trigger rule; or receive a performance data output instruction triggered according to a query instruction input by the user.
  • the time granularity information determining unit 30 is further configured to: select some or all of the POs of the selected device as the first PO according to the set triggering rule, and determine the output time period, and generate the output time period and the selection. a performance data output instruction of the first PO information; or the user inputs one or more KPIs to be queried, and an output time period set by the user; and parses the PO corresponding to each KPI according to a preset KPI calculation formula as the first a PO; generating a performance data output instruction including an output time period and the parsed first PO information.
  • the PO data output unit 40 is configured to search the collected PO data according to the determined time granularity included in the time granularity information of the first PO, and obtain the first PO in the order of time granularity in the output time period.
  • the PO data, in which the PO data of the first PO of the time granularity of the PO data is not found, is empty.
  • the PO data output unit 40 is further configured to: search for a pre-established RPO reference table according to the first PO information included in the performance data output instruction; and create an output time period for the first PO information existing in the RPO reference table. a first query statement; for the first PO information that does not exist in the RPO reference table, creating a second query statement including an output time period; executing the first query statement and/or the second query statement, and collecting the PO data Finding the PO data of each time granularity of the first PO in the output time period, and sorting the PO data of the first PO in the order of time granularity in the obtained output time period of the first PO, The PO data of the first PO that finds the time granularity of the PO data is empty.
  • the telecommunication network management performance data output device further includes: a performance database unit 50, It is used to store PO data of each device by time granularity.

Landscapes

  • Engineering & Computer Science (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Signal Processing (AREA)
  • Information Retrieval, Db Structures And Fs Structures Therefor (AREA)

Abstract

L'invention concerne un procédé et un appareil pour délivrer des données de performance de gestion de réseau de télécommunication. Le procédé comprend : la collecte des données de PO de chaque dispositif conformément à une granularité temporelle ; conformément à un intervalle de temps de sortie spécifié dans une commande de sortie de données de performance reçue et des premières informations de PO contenues dans celles-ci qui doivent délivrer les données de performance, l'exécution d'une recherche dans une table de référence de RPO préétablie, et la détermination d'une granularité temporelle des informations contenues dans les premiers PO qui doivent délivrer les données de performance dans l'intervalle de temps de sortie, la table de référence de RPO comprenant des informations de PO et des informations de granularité temporelle de chaque PO ; conformément à la granularité temporelle contenue dans les informations de granularité temporelle du premier PO, la recherche des données de PO collectées pour obtenir les données de PO du premier PO séquencé dans un ordre de priorité de la granularité temporelle dans l'intervalle de temps de sortie, le premier PO de la granularité temporelle sans données de PO trouvé ayant des données de PO nulles. La présente invention peut réellement surveiller et analyser la performance du système global en temps réel, et peut effectuer rapidement et avec précision une analyse de performance et un dépannage.
PCT/CN2012/071609 2011-06-20 2012-02-24 Procédé et appareil de distribution de données de performance de gestion de réseau de télécommunication WO2012174882A1 (fr)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
CN201110165840.XA CN102289452B (zh) 2011-06-20 2011-06-20 一种电信网管性能数据输出的方法及装置
CN201110165840.X 2011-06-20

Publications (1)

Publication Number Publication Date
WO2012174882A1 true WO2012174882A1 (fr) 2012-12-27

Family

ID=45335884

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/CN2012/071609 WO2012174882A1 (fr) 2011-06-20 2012-02-24 Procédé et appareil de distribution de données de performance de gestion de réseau de télécommunication

Country Status (2)

Country Link
CN (1) CN102289452B (fr)
WO (1) WO2012174882A1 (fr)

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP3070878A4 (fr) * 2013-11-11 2016-09-21 Zte Corp Procédé et appareil d'affichage d'interface de chemin d'agrégation d'objets de performance en gestion de réseau intégrée

Families Citing this family (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102289452B (zh) * 2011-06-20 2018-02-27 中兴通讯股份有限公司 一种电信网管性能数据输出的方法及装置
CN106911519B (zh) * 2017-04-10 2020-04-07 北京搜狐新媒体信息技术有限公司 一种数据采集监控方法及装置
CN111130921B (zh) * 2019-11-28 2021-11-30 中盈优创资讯科技有限公司 核心网网元的性能指标处理方法及装置

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101114946A (zh) * 2007-09-12 2008-01-30 中兴通讯股份有限公司 在电信网管系统中性能对象数据的采集方法
CN101247271A (zh) * 2008-03-24 2008-08-20 中兴通讯股份有限公司 性能数据的存储方法和装置
CN101790257A (zh) * 2009-01-22 2010-07-28 大唐移动通信设备有限公司 一种存储数据的方法和网管系统
CN102289452A (zh) * 2011-06-20 2011-12-21 中兴通讯股份有限公司 一种电信网管性能数据输出的方法及装置

Family Cites Families (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP3311540B2 (ja) * 1995-04-28 2002-08-05 富士ゼロックス株式会社 データ管理システム
JP4808409B2 (ja) * 2005-01-14 2011-11-02 株式会社日立製作所 センサネットワークシステム、センサデータの検索方法及びプログラム
CN101197712B (zh) * 2007-10-19 2010-06-09 中兴通讯股份有限公司 在电信网管系统中性能对象数据的采集方法
CN101645062B (zh) * 2009-08-21 2012-01-25 金蝶软件（中国）有限公司 一种报表生成方法、系统

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101114946A (zh) * 2007-09-12 2008-01-30 中兴通讯股份有限公司 在电信网管系统中性能对象数据的采集方法
CN101247271A (zh) * 2008-03-24 2008-08-20 中兴通讯股份有限公司 性能数据的存储方法和装置
CN101790257A (zh) * 2009-01-22 2010-07-28 大唐移动通信设备有限公司 一种存储数据的方法和网管系统
CN102289452A (zh) * 2011-06-20 2011-12-21 中兴通讯股份有限公司 一种电信网管性能数据输出的方法及装置

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP3070878A4 (fr) * 2013-11-11 2016-09-21 Zte Corp Procédé et appareil d'affichage d'interface de chemin d'agrégation d'objets de performance en gestion de réseau intégrée

Also Published As

Publication number Publication date
CN102289452A (zh) 2011-12-21
CN102289452B (zh) 2018-02-27

Similar Documents

Publication Publication Date Title
JP5840788B2 (ja) 根本原因分析のための方法、装置、および通信ネットワーク
US8166351B2 (en) Filtering redundant events based on a statistical correlation between events
US9692671B2 (en) Method and apparatus for automatically determining causes of service quality degradation
WO2019134483A1 (fr) Procédé et dispositif de calcul de chemin dans des contraintes multidimensionnelles, processeur et support de stockage
US20150195154A1 (en) Creating a Knowledge Base for Alarm Management in a Communications Network
JP2009171194A (ja) パケットサンプリング方法、パケットサンプリング装置、ネットワーク監視装置
CN101808351B (zh) 业务影响分析方法和系统
WO2011035685A1 (fr) Procédé, dispositif et système d'évaluation de la fiabilité d'un réseau
WO2012174882A1 (fr) Procédé et appareil de distribution de données de performance de gestion de réseau de télécommunication
CN102868553A (zh) 故障定位方法及相关设备
CN105871638A (zh) 一种网络安全控制方法及装置
KR100681000B1 (ko) 플로우별 트래픽 측정 장치 및 방법
CN102355373A (zh) 一种传输网络大汇聚点隐患自动排查的方法和装置
CN114791927A (zh) 一种数据分析方法和装置
CN111371575B (zh) 一种通话问题定界的方法和装置
JP4331174B2 (ja) トラフィックデータ中継システム、トラフィックデータの分散配置システムおよびトラフィックデータの分散配置方法
CN102612058B (zh) 一种性能指标统计结果确定方法及装置
CN112436958A (zh) 数据中心网络设备故障预测的方法、系统、设备及介质
Vokorokos et al. Data preprocessing for efficient evaluation of network traffic parameters
CN114448868A (zh) 一种基于分段路由策略的路径调度方法、装置及设备
CN110896545B (zh) 在线计费漫游故障定位方法及相关装置、存储介质
CN112825504B (zh) 一种数据监测方法、装置、设备及存储介质
WO2010010586A1 (fr) Analyse de réseau de télécommunication en temps réel par comparaison des données d’état avec des valeurs de référence
KR20240086201A (ko) 트래픽을 예측하는 서버, 방법 및 컴퓨터 프로그램
CN117675628A (zh) 一种线路质量监控方法、装置、设备及存储介质

Legal Events

Date Code Title Description
121 Ep: the epo has been informed by wipo that ep was designated in this application

Ref document number: 12802978

Country of ref document: EP

Kind code of ref document: A1

NENP Non-entry into the national phase

Ref country code: DE

122 Ep: pct application non-entry in european phase

Ref document number: 12802978

Country of ref document: EP

Kind code of ref document: A1